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Revise plot to 90 days to reflect the pace of getting actual data from labs.
BH - In certain hospitals or critical care settings, shorter periods of acute kidney injury are relevant. More generally you would see issues over the course of weeks esp. when patients are asymptomatic.
JB - We might want to design this to look over two different time frames. How could a user toggle between those different time frames.
BH - Agree. There are different scenarios where one time frame is more pertinent than the other.
JB - If we take a window out to 90 days, is there a situation where renal toxicity can happen outside of a 90 day window? Would we miss anything after 90 days?
BH - Metformin for example. You can run into progressive renal dysfunction if used over a long period. It's also based on co-morbidities, it can be hard to determine what is causing what in this case. Take remdesivir for instance, when determining if remdesivir is causing renal issues for patients in a hospital you would be getting more frequent blood work. I see these as two separate situations.
JB - I agree. I think out past 90 days I don't think we can use the same criteria. I think if we have the data we can have a toggle between them. @elimillera Can you think of a way to toggle between these two views?
EM - I think just a filter would be useful here to switch between them.
JB - @elimillera We can take out this historizes function. to determine peak creatinine, and get the delta in the creatinine to plot a single point. We also need to determine how the different views change the stages of the KDI.
BH - Can these axis be changed based on the window view?
EM - Yes the axis can be modified to show the data we need.
JB - We'll take off the historisis plot in favor of the spaghetti plots as well.
JB - Our list of analytes were determined from a scientist. Is there any we need to add?
BH - Those look appropriate.
JB - We don't have urinalysis there. What kind of displays could we include there?
JB - Now that we're on platform 2.0 we can pull in additional data. One of the things we were adding on hep-explore were to hold up aes over time to hold up over other plots. Did we want to do that as well here? Knowledge of AE's occurring would be valuable here.
BH - Most valuable over the change in creatinine.
JB - @elimillera We could create these as swimmer plots for conmed and ae. I'll send hep examples to show what these displays can look like.
BH - Could we have medical history display over time as well? That would help to inform about the patient.
JB - That's not going to change overtime so that could work as just a table at the bottom. I'm wondering if we could also do a filter by medical history when looking at patients.
BH - For the age grouping is that hard coded?
EM - That is generally hard-coded in the demographic data, adsl will include an AGE as well as an AGEGR column.
JB - Check out staging between acute and long-term stages for KDI
JB - Send out plots with conmed and AE examples
BH - Check with nephrology to check for urinalysis results.
EM - Determine toggle between short(7-day) and long(90-day) window
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Revise plot to 90 days to reflect the pace of getting actual data from labs.
BH - In certain hospitals or critical care settings, shorter periods of acute kidney injury are relevant. More generally you would see issues over the course of weeks esp. when patients are asymptomatic.
JB - We might want to design this to look over two different time frames. How could a user toggle between those different time frames.
BH - Agree. There are different scenarios where one time frame is more pertinent than the other.
JB - If we take a window out to 90 days, is there a situation where renal toxicity can happen outside of a 90 day window? Would we miss anything after 90 days?
BH - Metformin for example. You can run into progressive renal dysfunction if used over a long period. It's also based on co-morbidities, it can be hard to determine what is causing what in this case. Take remdesivir for instance, when determining if remdesivir is causing renal issues for patients in a hospital you would be getting more frequent blood work. I see these as two separate situations.
JB - I agree. I think out past 90 days I don't think we can use the same criteria. I think if we have the data we can have a toggle between them. @elimillera Can you think of a way to toggle between these two views?
EM - I think just a filter would be useful here to switch between them.
JB - @elimillera We can take out this historizes function. to determine peak creatinine, and get the delta in the creatinine to plot a single point. We also need to determine how the different views change the stages of the KDI.
BH - Can these axis be changed based on the window view?
EM - Yes the axis can be modified to show the data we need.
JB - We'll take off the historisis plot in favor of the spaghetti plots as well.
JB - Our list of analytes were determined from a scientist. Is there any we need to add?
BH - Those look appropriate.
JB - We don't have urinalysis there. What kind of displays could we include there?
JB - Now that we're on platform 2.0 we can pull in additional data. One of the things we were adding on hep-explore were to hold up aes over time to hold up over other plots. Did we want to do that as well here? Knowledge of AE's occurring would be valuable here.
BH - Most valuable over the change in creatinine.
JB - @elimillera We could create these as swimmer plots for conmed and ae. I'll send hep examples to show what these displays can look like.
BH - Could we have medical history display over time as well? That would help to inform about the patient.
JB - That's not going to change overtime so that could work as just a table at the bottom. I'm wondering if we could also do a filter by medical history when looking at patients.
BH - For the age grouping is that hard coded?
EM - That is generally hard-coded in the demographic data, adsl will include an AGE as well as an AGEGR column.
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